abhisharma7's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
tensorflow/models
Models and examples built with TensorFlow
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
NationalSecurityAgency/ghidra
Ghidra is a software reverse engineering (SRE) framework
derailed/k9s
🐶 Kubernetes CLI To Manage Your Clusters In Style!
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
mxssl/sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
snipsco/snips-nlu
Snips Python library to extract meaning from text
mhagiwara/100-nlp-papers
100 Must-Read NLP Papers
aleju/papers
Summaries of machine learning papers
salesforce/WikiSQL
A large annotated semantic parsing corpus for developing natural language interfaces.
wardviaene/terraform-course
Course files for my Udemy course about Terraform
GoogleCloudPlatform/cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
karthikncode/nlp-datasets
A list of datasets/corpora for NLP tasks, in reverse chronological order.
aws-samples/amazon-ecs-mythicalmysfits-workshop
A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ aws-mythical-mysfits@amazon.com. At re:Invent 2018, these sessions were run as CON214/CON321/CON322.
arunponnusamy/gender-detection-keras
Gender detection (from scratch) using deep learning with keras and cvlib.
marcolagi/quantulum
Python library for information extraction of quantities from unstructured text
catchpoint/WebPageTest.beacon-ml
Evaluate web beacon metrics for impact on business metrics
lfoppiano/grobid-quantities
GROBID extension for identifying and normalizing physical quantities.
daremon/urlclustering
Package to facilitate URL clustering
khundman/marve
For extracting measurements and related entities from text
fibbonnaci/DeepLens-workshops
TheAnig/NER-LSTM-CNN-Pytorch
End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial
uswitch/sqs-autoscaler-controller
Kubernetes controller for scaling Deployments based on AWS SQS queue length
aws-samples/amazon-redshift-modernize-dw
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.
fulfilio/python-walmart
Walmart Partner API - Python Client
vishalvb/Kaggle